Five Reasons Why You Need To Outsource Your Data Annotation Project
Artificial Intelligence (AI) and Machine Learning (ML) development is mainly rely on training data sets, that helps the AI or ML algorithms to detect the objects and learn certain patterns for future predictions. And acquiring the labeled or annotated data is the real challenge for the companies they many times prefer to generate such data from in-house sources.
Actually, such companies believe that using the internal sources will not help them to save time and cost, but their data will be remain confidential within their employees. And security is also another concern in-house annotation gets better reliability. But right here we discuss why data annotation outsourcing is the better option for AI and ML companies.
#1 Get Better Quality Training Data Sets
Quality and accuracy is the prime factors plays a key role in success of the AI or machine learning model development. And the quality or accuracy comes with the expertize and experience, which is possible with the professionals dedicatedly into performing such tasks.
Here, if you outsource data annotation to industry experts, you will assign your requirements to professionals who are highly-skilled and work with much faster pace with better quality. They work in team and know all the aspects while annotating the images making sure the quality should be at best level while generating high volume data.
Anolytics is one a hidden gems, that provides data annotation services for machine learning and AI projects with best quality and accuracy. It has well-trained team to complete such projects timely that goes through multiple quality checks for zero error. It ensures the quality in every data annotation project while maintaining the cost and productivity.
#2 Timely Availability with Live Annotations
If you try to acquire the such data from internal sources, your project might delay due to slow delivery of projects from in-house employees who are already busy in completing the annotation of hundreds of images or on-going projects.
Here, if your project needs urgent annotated data to complete the model timely, you need to find the experts providing the live annotation services. Outsourcing will be the better option, that will help you get quality datasets at faster speed.
Analytics, works with speedy annotation services to label the images for machine learning with an edge. It has delivered the data annotation projects for different fields and gained the expertize to complete such task at faster speed with accuracy.
#3 Scalable Solution with Turnaround Time
Training the machines requires huge quantity of labeled datasets to make sure model get the feed of most of the variety learn from the data and give the precise results. And if the project is based on deep learning you need big data to train the model to understand the complexities of the algorithms and produce the acceptable results.
In such conditions how will you meet your annotated data demand from your in-house team, and if you hire more team members for a particular project it will add cost to your final project development and may be they also unable to meet your demand.
Anolytics works with scalable solution to provide the large volume training data solution to AI and ML companies. Data annotation outsourcing to such professionals also help you to get the annotated data rapidly with turnaround time to meet your uncertain demand that can come anytime, into any language or from any unexpected fields.
#4 The Security and Confidentially of Data
The security of data is another factor AI or ML companies think about seriously while outsourcing the data annotation services. Few companies avoid to outsource such projects due to data privacy compliance like PII or PHI or other considerations. But its not true, as professional companies work with ethics and never misuse the data of their clients or share with other without the permission from the clients.
While on the other hand, using the internal sources to annotate the data can be useful for small companies working on simple AI or ML projects. But for bigger projects and deep learning you need to outsource the annotation projects to third-party to build a right model.
Anolytics works with legal stipulation while accepting the annotation projects to ensure the security of data till the end of delivery of projects. It is working with wide number of clients to make sure the unannotated and annotated both types of data are secured. It is also a SOC 2 TYPE 1 certified company and maintain high standards of data security and confidentiality.
#5 Outsourcing Rationalize the Internal Bias
Another one of the best advantage of outsourcing the training data to third-party companies is, rationalizing the bias in machine learning generates results that are systematically partial due to inaccurate assumptions. And when such situations occurs the accuracy of data suffers affecting the productivity of ML model when used in real-life.
The most common causes of bias in machine learning training data are, when you use to train your model not accurately represent the environment that the model operate in real-life use. However, no data set can give you the real world with 100% accuracy.
Biased results from training data is also influenced by other factors like cultural or other stereotypes followed during the annotation process. And many times internal biased also find the space in such projects that creates a preconceived expectation of the model prediction that leads to an unconscious data annotation with given result in the minds.
Hope these five reasons to make you understand why you need to outsource data annotation projects to other companies who are working with a professional environment. Anolytics works with dedicated team to annotate the huge quantity of data including texts, videos and images with highest level of accuracy. It can meet your data, Image, audio and video annotation requirement with scalable solution and complete security for reliable annotation solution at low-cost.